Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity
Gestational diabetes mellitus (GDM) is independently associated with an increased risk of maternal-fetal complications. Improved glycemic control allows reducing perinatal morbidity and mortality and, specifically, the risk of macrosomia and shoulder dystocia which are the most common complications...
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| Veröffentlicht in: | European journal of obstetrics & gynecology and reproductive biology 2018-02, Vol.221, p.113-118 |
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| container_title | European journal of obstetrics & gynecology and reproductive biology |
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| creator | Ducarme, Guillaume Desroys Du Roure, François Le Thuaut, Aurélie Grange, Joséphine Dimet, Jérôme Crepin-Delcourt, Ingrid |
| description | Gestational diabetes mellitus (GDM) is independently associated with an increased risk of maternal-fetal complications. Improved glycemic control allows reducing perinatal morbidity and mortality and, specifically, the risk of macrosomia and shoulder dystocia which are the most common complications associated with GDM. Nonetheless, a need for early antenatal predictor of neonatal morbidity in women suffering from GDM is required. The objective of the study was to evaluate the efficacy of different maternal, biological, and antenatal parameters at the time of diagnosis of GDM or perinatal variables as predictors of neonatal morbidity.
This was a prospective observational study recruited all pregnant women with diagnosis of GDM at first- or second-trimester in a tertiary care hospital from July 2014 to October 2015. Different antenatal parameters (maternal weight, weight gain during pregnancy, history of GDM, history of macrosomia, serum fructosamine, HbA1c) were obtained at the time of diagnosis of GDM. Mode of delivery was also analyzed. Neonatal morbidity was defined by at least one of the following criteria: preterm birth |
| doi_str_mv | 10.1016/j.ejogrb.2017.12.036 |
| format | Article |
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This was a prospective observational study recruited all pregnant women with diagnosis of GDM at first- or second-trimester in a tertiary care hospital from July 2014 to October 2015. Different antenatal parameters (maternal weight, weight gain during pregnancy, history of GDM, history of macrosomia, serum fructosamine, HbA1c) were obtained at the time of diagnosis of GDM. Mode of delivery was also analyzed. Neonatal morbidity was defined by at least one of the following criteria: preterm birth <37 weeks, macrosomia, shoulder dystocia, respiratory distress syndrome, 5-min Apgar score <7, pH < 7.10 and admission to the NICU (neonatal intensive care unit) for 24 h. Univariate and logistic regression analyses were performed to determine independent antenatal predictors of neonatal morbidity.
Two hundred pregnant women with diagnosis of GDM were included. The mean gestational age at the time of diagnosis of GDM was 22 ± 6 weeks. Insulin was required in 72/200 (36%) women for glycemic control during pregnancy. Neonatal morbidity occurred in 21% (n = 42). In the univariate analysis, neonatal morbidity was associated with nulliparity (50% compared to 32%, p = 0.03), induction of labor (36% compared to 27%, p = 0.03) and cesarean section (36% compared to 12%, p < 0.01). Multivariable logistic regression analysis found a significant association between nulliparity and neonatal morbidity (adjusted odds ratio [OR] 2.3, 95% confidence interval [CI] 1.1–4.7). Cesarean delivery was also significantly associated with neonatal morbidity (aOR 7.6, 95% CI 2.9–20).
This suggests that nulliparity was an efficient antenatal predictor of neonatal morbidity at the time of diagnosis of GDM. Cesarean section was also associated with neonatal morbidity in women with GDM.</description><identifier>ISSN: 0301-2115</identifier><identifier>EISSN: 1872-7654</identifier><identifier>DOI: 10.1016/j.ejogrb.2017.12.036</identifier><identifier>PMID: 29278829</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Gestational diabetes mellitus ; Insulin ; Neonatal morbidity ; Pregnancy</subject><ispartof>European journal of obstetrics & gynecology and reproductive biology, 2018-02, Vol.221, p.113-118</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright © 2017 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-9caf3ac0b23b0ecf05f9c79f44913d710e8bfc92f3d5599331d215b50df88a863</citedby><cites>FETCH-LOGICAL-c362t-9caf3ac0b23b0ecf05f9c79f44913d710e8bfc92f3d5599331d215b50df88a863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejogrb.2017.12.036$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29278829$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ducarme, Guillaume</creatorcontrib><creatorcontrib>Desroys Du Roure, François</creatorcontrib><creatorcontrib>Le Thuaut, Aurélie</creatorcontrib><creatorcontrib>Grange, Joséphine</creatorcontrib><creatorcontrib>Dimet, Jérôme</creatorcontrib><creatorcontrib>Crepin-Delcourt, Ingrid</creatorcontrib><title>Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity</title><title>European journal of obstetrics & gynecology and reproductive biology</title><addtitle>Eur J Obstet Gynecol Reprod Biol</addtitle><description>Gestational diabetes mellitus (GDM) is independently associated with an increased risk of maternal-fetal complications. Improved glycemic control allows reducing perinatal morbidity and mortality and, specifically, the risk of macrosomia and shoulder dystocia which are the most common complications associated with GDM. Nonetheless, a need for early antenatal predictor of neonatal morbidity in women suffering from GDM is required. The objective of the study was to evaluate the efficacy of different maternal, biological, and antenatal parameters at the time of diagnosis of GDM or perinatal variables as predictors of neonatal morbidity.
This was a prospective observational study recruited all pregnant women with diagnosis of GDM at first- or second-trimester in a tertiary care hospital from July 2014 to October 2015. Different antenatal parameters (maternal weight, weight gain during pregnancy, history of GDM, history of macrosomia, serum fructosamine, HbA1c) were obtained at the time of diagnosis of GDM. Mode of delivery was also analyzed. Neonatal morbidity was defined by at least one of the following criteria: preterm birth <37 weeks, macrosomia, shoulder dystocia, respiratory distress syndrome, 5-min Apgar score <7, pH < 7.10 and admission to the NICU (neonatal intensive care unit) for 24 h. Univariate and logistic regression analyses were performed to determine independent antenatal predictors of neonatal morbidity.
Two hundred pregnant women with diagnosis of GDM were included. The mean gestational age at the time of diagnosis of GDM was 22 ± 6 weeks. Insulin was required in 72/200 (36%) women for glycemic control during pregnancy. Neonatal morbidity occurred in 21% (n = 42). In the univariate analysis, neonatal morbidity was associated with nulliparity (50% compared to 32%, p = 0.03), induction of labor (36% compared to 27%, p = 0.03) and cesarean section (36% compared to 12%, p < 0.01). Multivariable logistic regression analysis found a significant association between nulliparity and neonatal morbidity (adjusted odds ratio [OR] 2.3, 95% confidence interval [CI] 1.1–4.7). Cesarean delivery was also significantly associated with neonatal morbidity (aOR 7.6, 95% CI 2.9–20).
This suggests that nulliparity was an efficient antenatal predictor of neonatal morbidity at the time of diagnosis of GDM. Cesarean section was also associated with neonatal morbidity in women with GDM.</description><subject>Gestational diabetes mellitus</subject><subject>Insulin</subject><subject>Neonatal morbidity</subject><subject>Pregnancy</subject><issn>0301-2115</issn><issn>1872-7654</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kctuFDEQRS1ERIbAHyDkJZtu_Jh-eIOEohCQIrGBteVHualRd3uwPUjzCflr3JqQJd5Y1j23qlyXkHectZzx_uOhhUOckm0F40PLRctk_4Ls-DiIZui7_UuyY5LxRnDeXZPXOR9YPVKqV-RaKDGMo1A78ngXAjrjzjQGupgCaTUzNaunFuMcp6rN9GiSWaBqmZpCyy-gBRfYHB7NtMaMeXtMkIspGLcKVbDVkekC84zllCmu9JjAoyu4TnSFipUKLjFZ9FjOb8hVMHOGt0_3Dfn55e7H7dfm4fv9t9vPD42TvSiNciZI45gV0jJwgXVBuUGF_V5x6QfOYLTBKRGk7zqlpORe8M52zIdxNGMvb8iHS91jir9PdWS9YHZ1SlNnOmXN1chZNzAxVHR_QV2KOScI-phwMemsOdNbCPqgLyHoLQTNha4hVNv7pw4nu4B_Nv3begU-XQCo__yDkHR2CKur20ngivYR_9_hL6i5nUg</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Ducarme, Guillaume</creator><creator>Desroys Du Roure, François</creator><creator>Le Thuaut, Aurélie</creator><creator>Grange, Joséphine</creator><creator>Dimet, Jérôme</creator><creator>Crepin-Delcourt, Ingrid</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201802</creationdate><title>Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity</title><author>Ducarme, Guillaume ; Desroys Du Roure, François ; Le Thuaut, Aurélie ; Grange, Joséphine ; Dimet, Jérôme ; Crepin-Delcourt, Ingrid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-9caf3ac0b23b0ecf05f9c79f44913d710e8bfc92f3d5599331d215b50df88a863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Gestational diabetes mellitus</topic><topic>Insulin</topic><topic>Neonatal morbidity</topic><topic>Pregnancy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ducarme, Guillaume</creatorcontrib><creatorcontrib>Desroys Du Roure, François</creatorcontrib><creatorcontrib>Le Thuaut, Aurélie</creatorcontrib><creatorcontrib>Grange, Joséphine</creatorcontrib><creatorcontrib>Dimet, Jérôme</creatorcontrib><creatorcontrib>Crepin-Delcourt, Ingrid</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of obstetrics & gynecology and reproductive biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ducarme, Guillaume</au><au>Desroys Du Roure, François</au><au>Le Thuaut, Aurélie</au><au>Grange, Joséphine</au><au>Dimet, Jérôme</au><au>Crepin-Delcourt, Ingrid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity</atitle><jtitle>European journal of obstetrics & gynecology and reproductive biology</jtitle><addtitle>Eur J Obstet Gynecol Reprod Biol</addtitle><date>2018-02</date><risdate>2018</risdate><volume>221</volume><spage>113</spage><epage>118</epage><pages>113-118</pages><issn>0301-2115</issn><eissn>1872-7654</eissn><abstract>Gestational diabetes mellitus (GDM) is independently associated with an increased risk of maternal-fetal complications. Improved glycemic control allows reducing perinatal morbidity and mortality and, specifically, the risk of macrosomia and shoulder dystocia which are the most common complications associated with GDM. Nonetheless, a need for early antenatal predictor of neonatal morbidity in women suffering from GDM is required. The objective of the study was to evaluate the efficacy of different maternal, biological, and antenatal parameters at the time of diagnosis of GDM or perinatal variables as predictors of neonatal morbidity.
This was a prospective observational study recruited all pregnant women with diagnosis of GDM at first- or second-trimester in a tertiary care hospital from July 2014 to October 2015. Different antenatal parameters (maternal weight, weight gain during pregnancy, history of GDM, history of macrosomia, serum fructosamine, HbA1c) were obtained at the time of diagnosis of GDM. Mode of delivery was also analyzed. Neonatal morbidity was defined by at least one of the following criteria: preterm birth <37 weeks, macrosomia, shoulder dystocia, respiratory distress syndrome, 5-min Apgar score <7, pH < 7.10 and admission to the NICU (neonatal intensive care unit) for 24 h. Univariate and logistic regression analyses were performed to determine independent antenatal predictors of neonatal morbidity.
Two hundred pregnant women with diagnosis of GDM were included. The mean gestational age at the time of diagnosis of GDM was 22 ± 6 weeks. Insulin was required in 72/200 (36%) women for glycemic control during pregnancy. Neonatal morbidity occurred in 21% (n = 42). In the univariate analysis, neonatal morbidity was associated with nulliparity (50% compared to 32%, p = 0.03), induction of labor (36% compared to 27%, p = 0.03) and cesarean section (36% compared to 12%, p < 0.01). Multivariable logistic regression analysis found a significant association between nulliparity and neonatal morbidity (adjusted odds ratio [OR] 2.3, 95% confidence interval [CI] 1.1–4.7). Cesarean delivery was also significantly associated with neonatal morbidity (aOR 7.6, 95% CI 2.9–20).
This suggests that nulliparity was an efficient antenatal predictor of neonatal morbidity at the time of diagnosis of GDM. Cesarean section was also associated with neonatal morbidity in women with GDM.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>29278829</pmid><doi>10.1016/j.ejogrb.2017.12.036</doi><tpages>6</tpages></addata></record> |
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| subjects | Gestational diabetes mellitus Insulin Neonatal morbidity Pregnancy |
| title | Efficacy of maternal and biological parameters at the time of diagnosis of gestational diabetes mellitus in predicting neonatal morbidity |
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